Battery Aware Experiment Scheduling

This project consists of two parts:

• Part 1 - A model checker is programmed in Python for costoptimal reachability properties on timed automata specified in Modest;
• Part 2 - That model checker is used to compute battery-aware experiment schedules for the GomX-3 nanosatellite;

Part 1

During the first phase of the project a model checker has been created for unbounded and cost-optimal reachability properties for Modest models in Python.

Prerequisites

The model checker is designed to run on Python 3.7 or newer. The following package is required:

pip3 install plotly.express

Execution

In order to run the model checker in Python, run checker.py with a model.

An example of the files which can be ran by the checker are all the files with the .py extension that can be found in the folder Part_1/modest_models.

An example execution of one of the files in Part_1/modest_models can be seen below:

python3 checker.py /Part_1/modest_models/test1.py 

The following (optional) arguments are supported by the checker:

optional arguments:
  -h, --help  show this help message and exit
  --d         d(ebug): Enter runtime debug mode
  --t         t(race): Print the property trace
  --s         s(chedule): Create human-readable CSV schedules and KiBam baseload CSV
  --bfs       bfs: Use the Breadth First Search algorithm for the exist properties, default is DFS
  --dijkstra  dijkstra: Use Dijkstra algorithm for the Xmin properties, default is Best First Search

The model checker outputs:

• For every property of the form E<> target specified in the model, where target is a Boolean expression that does not contain further property operators, whether the model satisfies the property or not. If requested by --t, the trace is also printed.
• For every property of the form Xmin(cost-spec, target) specified in the model, where cost-spec is of the form T(rate-exp) or S(jump-exp) with rate-exp and jump-exp numeric expressions not containing further property operators and target a Boolean expression not containing further property operators, whether a state satisfying target is reachable from the initial state, and if yes, the minimum cost of reaching it. If requested by --t, the trace is also printed.

Part 2

During the second phase of the project a Modest model was implemented to generate a safe, good, and non-trivial job schedule for the GomX-3 satellite for a nontrivial period of time between March 20, 2016, 05:00 UTC, and March 22, 2016, 22:00 UTC.

The final model GomX-3.modest is located in Part_2/model. In order to use the nanosattelite data in the .csv files in Part_2/data, a Python script was developed. This Python script converts the CSV data to transient arrays that can be used in the GomX-3 Modest model. Check the README.md in the folder Part_2/data for more information.

Refer to schedule-instructions.txt to generate the final schedule.

Refer to report.txt to learn more about the Modest model GomX-3.modest

Authors

• Edian Annink
• Glen te Hofsté
• s2613352 - Kilian van Berlo - k.vanberlo@student.utwente.nl